KESALAHAN DALAM PEMAHAMAN OBJEK DASAR MATEMATIKA TENTANG BENTUK ALJABAR SISWA KELAS VIII SMPN 4 SUNGGUMINASA KABUPATEN GOWA
Bibliographic record
Abstract
Tujuan dalam penelitian ini adalah untuk mengetahui gambaran kesalahan pemahaman objek dasar matematika siswa SMPN 4 Sungguminasa Kabupaten Gowa Kelas VIII. Jenis dalam penelitian ini yaitu penelitian kualitatif. Subjek dalam penelitian ini sebanyak 3 orang siswa kelas VIII. Teknik pengumpulan data menggunakan tes diagnostik dan pedoman wawancara. Hasil penelitian menunjukkan bahwa: 1) kesalahan pemahaman fakta matematika siswa mencakup: kesalahan menerapkan tanda plus atau minus dan tanda kurung pada bentuk aljabar. 2) kesalahan pemahaman konsep matematika siswa mencakup: kesalahan pemahaman konsep suku, suku sejenis dan suku tidak sejenis. 3) kesalahan pemahaman prinsip matematika siswa mencakup: kesalahan memahami sifat-sifat yang berlaku pada bentuk aljabar. 4) kesalahan pemahaman operasi matematika siswa mencakup: a) kesalahan pemahaman dalam menyelesaikan penjumlahan dan pengurangan bentuk aljabar; b) kesalahan pemahaman dalam menyelesaikan perkalian dan pembagian bentuk aljabar; dan c) kesalahan pemahaman dalam menyederhanakan pecahan bentuk aljabar.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.071 | 0.016 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".